QIP 2017

Welcome to QIP 2017

About


The short term course will emphasize on recent trends in areas of deep learning (DL) and computational intelligence (CI) in automation and control and related applications. The objective is to provide a platform to the teachers of various engineering fields to exchange views and ideas in a relaxed and informal atmosphere.

Deep learning attempts to learn high-level abstractions present in data and provides flexibility to present data as nested hierarchy of concepts. Computational Intelligence is a set of biological and linguistic tools and methodologies that cover neural network, fuzzy logic and evolutionary computing.

Both these fields are inspired from neuroscience, genetics and behavioral science. These tools are useful in numerous disciplines including computer vision, speech and audio processing, natural language processing, robotics, bioinformatics, chemistry, video games, search engines, finance, neuroscidence. Experts in these fields will deliver talks to share their views and works with the attendees.

The short course is a unique opportunity to learn and explore ways to harmonize the power of Deep learning and Computational Intelligence tools and techniques. This course will cover the basics of both DL and CI and show their most recent research trends and discoveries.

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Coordinator


Nishchal K. Verma, PhD
Dept. of Electrical Engineering
India Institute of Technology Kanpur, India
For any query:
Email: 2017qip@gmail.com
Web: http://www.iitk.ac.in/idea/